摘要
针对纯电动汽车的动力性能不足提出了基于模糊控制的纯电动汽车加速转矩控制优化策略。首先基于模糊控制对驾驶员加速意图进行识别,将加速意图分为急加速模式和一般加速模式。然后根据加速意图识别结果,在不同的加速模式下利用模糊控制对基准转矩进行不同程度的转矩补偿,提高电机转矩输出。仿真和实车实验结果表明,相比较于传统控制方法,加速转矩控制优化策略能有效地识别驾驶员的加速意图,并根据识别结果进行相应的转矩补偿以更快的响应加速意图,显著提高了纯电动汽车的动力性能。
A n optimization strategy of acceleration torque control for pure electric vehicle is proposed based on fuzzy control for the poor power performance of pure electric vehicle. Firstly the fuzzy control is used to identify the driver＇s acceleration intentions, which are divided into rapid acceleration and normal acceleration. According to the recognition results of intention to accelerate, reference torque is compensated in varying degrees based on fuzzy control in the different acceleration modes, the The simulation and real vehicle results show that with the traditional improves motor torque output. test compared control method, the optimization strategy of acceleration torque control can identify the acceleration intentions of the driver effectively, and optimize the vehicle torque according to the recognition results, and improve the power performance of pure electric vehicle significantly.
出处
《机械设计与制造》
北大核心
2016年第9期50-53,共4页
Machinery Design & Manufacture
基金
山西省经济和信息化委员会技术创新项目(CX2014-45)
关键词
纯电动汽车
模糊控制
加速转矩控制
转矩补偿
优化
仿真
Pure Electric Vehicle
Fuzzy Control
Acceleration Torque Control
Compensation Torque
Optimization
Simulation
